TY  - CONF
N1  - cited By 0; Conference of 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014 ; Conference Date: 13 October 2014 Through 15 October 2014; Conference Code:109020
N2  - The number of patients with voice pathology has increased significantly in recent years. The disability or illness of a person should not deprive him from taking benefits of the technology advances that is changing the daily life. For example, modern day speech recognition technology should be capable to recognize a speech from a normal person as well as a person having dysphonic. In this paper, we propose a new speech feature to use in automatic speech recognition system of disordered speech. We compare the performance of this feature with the most widely used speech feature in speech recognition. The comparison is done using spoken words uttered by both normal and dysphonic patients. The obtained results with the proposed technique are good and comparable to the existing method. Copyright ISCA, CAINE 2014.
ID  - scholars4814
SP  - 269
TI  - Automatic speech recognition for dysphonic patients by using oriented local features
KW  - Speech
KW  -  Arabic digits; Automatic speech recognition; HMM; MFCC; Vocal folds
KW  -  Speech recognition
AV  - none
A1  - Ali, Z.
A1  - Muhammad, G.
A1  - Alsulaiman, M.
A1  - Elamvazuthi, I.
A1  - Al-Mutib, K.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84913598714&partnerID=40&md5=4d138ace7c38a0c467ceb5bbbf8fa9a8
EP  - 274
Y1  - 2014///
PB  - International Society of Computers and Their Applications (ISCA)
SN  - 9781880843970
ER  -